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Risk Efficiency in the Interpretation of Agricultural Production Research

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  • Anderson, Jock R.

Abstract

Risk is often perceived by farmers as being more formidable in new technologies emanating from agricultural research than in more traditional practices. Consequently risk may tend to act as an impediment to adoption of improved practices as well as a general friction on efficient use of resources. Research and extension workers in agriculture may thus wish to identify technologies that are not only "improved" (more productive and profitable on the average) but are also less risky in that they would be preferred by "risk-averse" farmers. The extent to which this identification can proceed in the absence of knowledge of farmers' individual attitudes to risk is explored here through application of the concepts of stochastic dominance.

Suggested Citation

  • Anderson, Jock R., 1974. "Risk Efficiency in the Interpretation of Agricultural Production Research," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 42(03), September.
  • Handle: RePEc:ags:remaae:7299
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    File URL: http://purl.umn.edu/7299
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    References listed on IDEAS

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    1. Hardaker, J. Brian & Tanago, A.G., 1973. "Assessment Of The Output Of A Stochastic Decision Model," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 17(03), December.
    2. John S. Hammond, III, 1974. "Simplifying the Choice between Uncertain Prospects Where Preference is Nonlinear," Management Science, INFORMS, vol. 20(7), pages 1047-1072, March.
    3. Day, Richard H & Aigner, Dennis J & Smith, Kenneth R, 1971. "Safety Margins and Profit Maximization in the Theory of the Firm," Journal of Political Economy, University of Chicago Press, vol. 79(6), pages 1293-1301, Nov.-Dec..
    4. J. Brian Hardaker & A.G. Tanago, 1973. "Assessment Of The Output Of A Stochastic Decision Model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 17(3), pages 170-178, December.
    5. Porter, R Burr, 1974. "Semivariance and Stochastic Dominance: A Comparison," American Economic Review, American Economic Association, vol. 64(1), pages 200-204, March.
    6. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    7. Porter, R Burr & Gaumnitz, Jabk E, 1972. "Stochastic Dominance vs. Mean-Variance Portfolio Analysis: An Empirical Evaluation," American Economic Review, American Economic Association, vol. 62(3), pages 438-446, June.
    8. Jack C. Hayya & William L. Ferrara, 1972. "On Normal Approximations of the Frequency Functions of Standard Forms Where the Main Variables are Normally Distributed," Management Science, INFORMS, vol. 19(2), pages 173-186, October.
    9. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," Review of Economic Studies, Oxford University Press, vol. 36(3), pages 335-346.
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    Keywords

    Production Economics; Risk and Uncertainty;

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